tag: AI

Neural Network Model Quantization On Mobile
By Roberto Lopez Mendez - 09 Nov, 2023 - Comments: 0

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in the context of neural network (NN) models, as the process of reducing the precision of the weights, biases, and activations. Moving from floating-point representations to low-precision fixed intege... » read more

SRAM In AI: The Future Of Memory
By Karen Heyman - 09 Nov, 2023 - Comments: 0

Experts at the Table — Part 1: Semiconductor Engineering sat down to talk about AI and the latest issues in SRAM with Tony Chan Carusone, CTO at Alphawave Semi; Steve Roddy, chief marketing officer at Quadric; and Jongsin Yun, memory technologist at Siemens EDA. What follows are excerpts of that conversation. Part two of this conversation can be found here and part three is here. [L-R]: ... » read more

The Power Of HBM3 Memory For AI Training Hardware
By Tim Messegee - 09 Nov, 2023 - Comments: 0

AI training data sets are constantly growing, driving the need for hardware accelerators capable of handling terabyte-scale bandwidth. Among the array of memory technologies available, High Bandwidth Memory (HBM) has emerged as the memory of choice for AI training hardware, with the most recent generation, HBM3, delivering unrivaled memory bandwidth. Let’s take a closer look at this important... » read more

Vision Transformers Change The AI Acceleration Rules
By Quadric.io - 08 Nov, 2023 - Comments: 0

Transformers were first introduced by the team at Google Brain in 2017 in their paper, "Attention is All You Need". Since their introduction, transformers have inspired a flurry of investment and research which have produced some of the most impactful model architectures and AI products to-date, including ChatGPT which is an acronym for Chat Generative Pre-trained Transformer. Transformers a... » read more

CMOS-Based HW Topology For Single-Cycle In-Memory XOR/XNOR Operations
By Technical Paper Link - 07 Nov, 2023 - Comments: 0

A technical paper titled “CMOS-based Single-Cycle In-Memory XOR/XNOR” was published by researchers at University of Tennessee, University of Virginia, and Oak Ridge National Laboratory (ORNL). Abstract: "Big data applications are on the rise, and so is the number of data centers. The ever-increasing massive data pool needs to be periodically backed up in a secure environment. Moreover, a ... » read more

The Power Of AI To Drive Productivity Gains
By Regan Mills - 07 Nov, 2023 - Comments: 0

Tuberculosis (TB) has been around for at least 9000 years, and people have been trying to find a cure or treatment for hundreds of years, but it remains one of the deadliest infectious diseases in the world, killing more than 1.5 million people per year. Despite all of the motivation and effort, there has been only partial progress in fully eradicating the disease but a company in South Korea, ... » read more

Closing The Performance Gap Between DRAM And AI Processors
By Balaji Kanigicherla - 02 Nov, 2023 - Comments: 0

As the workhorse of semiconductor memory, DRAM holds a unique place in the industry thanks to its large storage capacity and ability to feed data and program code to the host processor quickly. Lately, this unsung hero of the circuit board has been taking a backseat to its logic counterparts, as a wave of high-performance FPGAs, CPUs, GPUs, TPUs and custom accelerator ASICs emerges to meet t... » read more

What Will That Chip Cost?
By Brian Bailey - 30 Oct, 2023 - Comments: 1

In the past, analysts, consultants, and many other experts attempted to estimate the cost of a new chip implemented in the latest process technology. They concluded that by the 3nm node, only a few companies would be able to afford them — and by the time they got into the angstrom range, probably nobody would. Much has changed over the past few process nodes. Increasing numbers of startups... » read more

Unlocking The Power Of Edge Computing With Large Language Models
By Paul Karazuba - 30 Oct, 2023 - Comments: 0

In recent years, Large Language Models (LLMs) have revolutionized the field of artificial intelligence, transforming how we interact with devices and the possibilities of what machines can achieve. These models have demonstrated remarkable natural language understanding and generation abilities, making them indispensable for various applications. However, LLMs are incredibly resource-intensi... » read more

Chip Industry Week In Review
By The SE Staff - 27 Oct, 2023 - Comments: 0

By Susan Rambo, Karen Heyman, and Liz Allan The Biden-Harris administration designated 31 Tech Hubs across the U.S. this week, focused on industries including autonomous systems, quantum computing, biotechnology, precision medicine, clean energy advancement, and semiconductor manufacturing. The Department of Commerce (DOC) also launched its second Tech Hubs Notice of Funding Opportunity. ... » read more

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